Integrate Amazon Kinesis Firehose with Fullstory
About Amazon Kinesis Firehose
Amazon Kinesis Firehose is a fully managed service for delivering real-time streaming data to destinations such as Amazon Simple Storage Service (Amazon S3) and Amazon Redshift.
With Firehose, you do not need to write any applications or manage any resources. You configure your data producers to send data to Firehose and it automatically delivers the data to the destination that you specified.
Amazon Kinesis Firehose is the easiest way to load streaming data into AWS.
Fullstory helps companies record and analyze their customer communications by recording user sessions, providing detailed step-by-step logs of everything customers did during their sessions and storing that information for later retrieval and analysis. Fullstory can then be searched for specific events, including link usage, rage clicks or dead clicks. In addition to data on individual sessions, Fullstory can also retrieve analytics on aggregate customer behavior, showing the most clicked items, the most rage clicked areas, the most navigated to sites, etc.
Popular Use Cases
Bring all your Amazon Kinesis Firehose data to Amazon Redshift
Load your Amazon Kinesis Firehose data to Google BigQuery
ETL all your Amazon Kinesis Firehose data to Snowflake
Move your Amazon Kinesis Firehose data to MySQL
Bring all your Fullstory data to Amazon Redshift
Load your Fullstory data to Google BigQuery
ETL all your Fullstory data to Snowflake
Move your Fullstory data to MySQL
Integrate Amazon Kinesis Firehose With Fullstory Today
Free 7-day trial. Easy setup. Cancel any time.
Fullstory's End Points
Provide a user ID and/or email address to get a list of every session associated with a specific user up to the defined limit. Entries in that list include the user ID and email address, the time the session occurred, and the Fullstory session URL, all of which can be used to access the data from that session if desired.
Retrieve a list of 20 available data bundles from a specific timestamp onward. Then, export the most valuable data bundles from that list so that they can be integrated with other relevant data sources to give you a deeper overall view of your customer’s experience.